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           4/2022
	 
       vol. 36 abstract: 
   Original article 
Chronic ankle instability and associated factors in the general population: a pilot study
                       
   
                    Şule Badıllı Hantal
                 
                                     
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                    Uğur  Şaylı
                 
                                     
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                    Feryal  Subaşı
                 
                                     
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                    Elif Tuğçe Çil
                 
                                     
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                    Ebru Akbuğa Koç
                 
                                     
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                    Aslı  Yeral
                 
                                     
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                    Tolga  Akyol
                 
                                     
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 Advances in Rehabilitation, 2020, 36(4), 40–46 
   
Online publish date: 2022/12/19 
   
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    Introduction 
   Acute ankle sprains have a high recurrence rate associated with the development of chronic ankle instability (CAI). Understanding contributing factors can be a useful strategy for reducing the damage. Therefore, this study investigated the relationship between the associated independent factors and chronic instability. Material and methods Two hundred seventy-three volunteers (F/M: 175/98, mean age, 34.4 ± 13.2 years; range, 18-78) were included in this cross-sectional study. The data were collected by structured questionnaires which included two parts:(1) sociodemographic features (age, gender, height, weight, dominant side, type and duration of physical activity, having chronic medical problems (2) general health conditions (history of operation and trauma, number of painful regions, intensity, duration, of foot and ankle). Subjects are classified as having CAI with a CAIT score ≤ 27). Results The mean CAIT score was significantly lower in females compared to males, and subjects with a BMI (Body Mass Index) ≥ 30.0 had the lowest CAIT scores for both sides (p<0.05). The total number of painful areas bilaterally, pain level, and CAIT score of the opposite ankle were determined as predictor factors of CAI (Right: R2 = 0.54, p = 0.049, p = 0.000, p = 0.030, p= 0.000; Left: R2 = 0.48, p = 0.000, p = 0.000, p=0.000, p = 0.000, respectively). Conclusions Screening being obese and female, pain status (intensity and a total number of pain regions), and the opposite side CAIT score parameters can be a use valuable approach to prevent the secondary complications for the subjects applied primary care services after the injury. keywords: 
   body mass index, joint instability, pain, sprains | 
    
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